[hpc-announce] CFP: Benchmarking in the Data Center: Expanding to the Cloud Workshop (BID 2021)

[Kevin Brown]

CALL FOR PAPER

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Benchmarking in the Data Center: Expanding to the Cloud Workshop (BID 2021)
All-virtual, 28 February 2021
(Held in conjunction with PPoPP21)

Submission deadline: 15 January 2021 AoE
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URL: https://parallel.computer/


WORKSHOP SCOPE AND TOPIC

High performance computing (HPC) is no longer confined to universities and
national research laboratories, it is increasingly used in industry and in
the cloud. Users need to be able to evaluate what benefits HPC can bring to
their companies, what type of computational resources would be best for
their workloads and how they can evaluate what they should pay for these
resources. Recent general adoption of machine learning has motivated
migration of HPC workloads to cloud data centers, and there is a growing
interest by the community in performance evaluation in this area,
especially for end-to-end workflows. Benchmarking has typically involved
running specific workloads that are reflective of typical HPC workloads,
yet with the growing diversity of workloads, theoretical performance
modeling is also of interest to allow for performance prediction given a
minimal set of measurements. The workshop will be composed of submitted
papers, invited talks, and a panel composed of representatives from the
industry.

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Topics
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Paper submission topic include, but are not limited to, the following areas:
 * Multi-, many-core CPUs, GPUs, hybrid system evaluation
 * Performance, power, efficiency, and cost analysis
 * HPC, data center, and cloud workloads and benchmarks
 * System, workload, and workflow configuration and optimization


SUBMISSIONS

 * Workshop submission site: To be open soon

All submissions must be made electronically through the submission site (to
be announced). Full paper submissions must be in PDF formatted printable on
both A4 and US letter size paper. All papers must be prepared in ACM
Conference Format using the 2-column acmart format: use the SIGPLAN
proceedings template acmart-sigplanproc-template.tex for Latex, and
interim-layout.docx for Word. You may also want to consult the official ACM
information on the Master Article Template and related tools. Important
note: The Word template (interim-layout.docx) on the ACM website uses 9pt
font; you need to increase it to 10pt.

Papers should contain a maximum of 10 pages of text (in a typeface no
smaller than 10 point) and figures, NOT INCLUDING references. There is no
page limit for references, and they must include the name of all authors
(not {et al.}). Appendices are not allowed, but the authors may provide
supplementary material (proofs or source code etc.) to the Program Chairs.
Review of supplementary material is at the discretion of the reviewers;
papers must be complete and self-contained.

Submission is double blind and authors will need to identify any potential
conflicts of interest with PC and Extended Review Committee members, as
defined here: http://www.sigplan.org/Resources/Policies/Review/ (ACM
SIGPLAN policy).


SCHEDULE

 * Submission deadline:     15 January 2021 AoE
 * Author notification:        8 February 2021
 * Workshop:                       28 February 2021, 17:00 EST


WORKSHOP PROGRAM

 *To be announced.


REGISTRATION

 * Please register at the main conference website:
https://ppopp21.sigplan.org/


ORGANIZING COMMITTEE

Workshop Chairs
* Juan (Jenny) Chen (National University of Defense Technology, China)
* Kevin Brown (Argonne National Laboratory, USA)

Industrial Panel Chairs
* Ammar Awan (Microsoft Research, USA)
* Shahzeb Siddiqui (Lawrence Berkeley National Laboratory, USA)

Program Committee
* To be announced.

Web
* Xinxin (Alva) Qi (National University of Defense Technology, China)

Advisory Committee
* Samar Aseeri (King Abdullah University of Science and Technology, Saudi
Arabia)
* Guo Liang (Open Data Center Committee and China Academy of Information
and Communications Technology, China)
* Benson Muite (Kichakato Kizito, Kenya)


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Kevin A. Brown, PhD
Leadership Computing Facility (LCF)
Argonne National Laboratory
kabrown at anl.gov